jfa: Bayesian and Classical Audit Sampling

Provides statistical audit sampling methods as implemented in JASP for Audit (Derks et al., 2021 <doi:10.21105/joss.02733>). The package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with the International Standards on Auditing. Next to classical audit sampling methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) <doi:10.1111/ijau.12240>, Derks et al. (2021) <doi:10.31234/osf.io/kzqp5>, and Derks et al. (2022) <doi:10.31234/osf.io/8nf3e>.

Version:	0.6.4
Imports:	extraDistr, graphics, stats
Suggests:	kableExtra, knitr, MUS, rmarkdown, samplingbook, testthat
Published:	2022-06-16
Author:	Koen Derks [aut, cre]
Maintainer:	Koen Derks <k.derks at nyenrode.nl>
BugReports:	https://github.com/koenderks/jfa/issues
License:	GPL (≥ 3)
URL:	https://koenderks.github.io/jfa/, https://github.com/koenderks/jfa
NeedsCompilation:	no
Language:	en-US
Citation:	jfa citation info
Materials:	README NEWS
CRAN checks:	jfa results

Documentation:

Reference manual:	jfa.pdf
Vignettes:	Get started Workflow: Classical audit sampling Workflow: Bayesian audit sampling Planning: Prior distributions Selection: Sampling methodology Evaluation: Estimating misstatement Evaluation: Testing misstatement Evaluation: Bayes factors using summary statistics

Downloads:

Package source:	jfa_0.6.4.tar.gz
Windows binaries:	r-devel: jfa_0.6.4.zip, r-release: jfa_0.6.4.zip, r-oldrel: jfa_0.6.4.zip
macOS binaries:	r-release (arm64): jfa_0.6.4.tgz, r-oldrel (arm64): jfa_0.6.4.tgz, r-release (x86_64): jfa_0.6.4.tgz, r-oldrel (x86_64): jfa_0.6.4.tgz
Old sources:	jfa archive

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